DeepSeek V4 Flash Base vs Kimi K2 Thinking
At a Glance
| Compare |  DeepSeek V4 Flash BaseDeepSeek |  Kimi K2 ThinkingMoonshot AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.60Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.50Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4-Flash-Base | Kimi-K2-Thinking |
|---|---|---|
| Developer | DeepSeek | Moonshot AI |
| Family | Deepseek V4 Flash Base | Kimi K2 Thinking |
| Model | DeepSeek-V4-Flash-Base | Kimi-K2-Thinking |
| Version | DeepSeek-V4-Flash-Base | Kimi-K2-Thinking |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2025-11-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | 292B | 1T |
| Active parameters | Unknown | 32B |
| License | Unknown | other |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | generation | chat, generation, reasoning, tools |
DeepSeek V4 Flash Base Capabilities
Kimi K2 Thinking Capabilities
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DeepSeek-V4-Flash-BaseDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Flash-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Flash-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash Base vs Kimi K2 Thinking FAQs
Is DeepSeek V4 Flash Base or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Base and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash Base or Kimi K2 Thinking?+
Only Kimi K2 Thinking has a directly sourced input price: $0.60 per million tokens. Only Kimi K2 Thinking has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, DeepSeek V4 Flash Base or Kimi K2 Thinking?+
DeepSeek V4 Flash Base has the larger sourced context window. DeepSeek V4 Flash Base supports 1,049K and Kimi K2 Thinking supports 262K.
Which performs better in benchmarks, DeepSeek V4 Flash Base or Kimi K2 Thinking?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Flash Base or Kimi K2 Thinking be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash Base is open weight; Kimi K2 Thinking is open weight.
Can DeepSeek V4 Flash Base and Kimi K2 Thinking understand images?+
DeepSeek V4 Flash Base is not documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash Base or Kimi K2 Thinking?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash Base is — and Kimi K2 Thinking is 131K.
Do DeepSeek V4 Flash Base and Kimi K2 Thinking support reasoning and tool use?+
DeepSeek V4 Flash Base: none of these features are definitively sourced. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash Base or Kimi K2 Thinking?+
DeepSeek V4 Flash Base has 0 sourced provider routes; Kimi K2 Thinking has 2, so Kimi K2 Thinking has broader tracked availability.
Which offers better value, DeepSeek V4 Flash Base or Kimi K2 Thinking?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.